Business statistics by example/ by Terry Sinsich

Includes appendix, index.

Contents I. Statistics and data. --II. Graphical methods for describing data sets. --III. Numerical for describing quantitative data. --IV. Basic concepts. --V. Discrete probability distributions. --VI. Continuous probability distributions. --VII. Sampling and sampling distributions. --VIII. Estimation of population parameters: Confidence interval. --IX. Introduction to sample survey methods. --X. Collecting evidence to support a theory. --XI. Hypothesis testing. --XII. Simple liner regression and correlation. --XIII. Multiple regression and model building. --XIV. Analysis of variance. --XV. Introduction to process and quality control. --XVI. Time series analysis and forecasting. --XVII. Categorical data analysis. --XVIII. Nonparametric statistics. --XIX. Elements of decision analysis.